Machine Learning Engineer

Role specification:

Experience: 5 - 8 years

Location: Pune

Mode of work: Hybrid

Key responsibility:

• Lead the conception and execution of intricate, resilient, scalable, and high-performing data-centric systems, integrating machine learning algorithms to enhance content delivery, customization, and connectivity services.
• Develop and implement machine learning models, prognostic analytics, and data-driven approaches to optimize user interactions and enrich IFEC (In-Flight Entertainment and Connectivity) functionalities.
• Create machine learning frameworks, tools, and technologies.
• Play a pivotal role in determining architectural aspects concerning machine learning infrastructure and deployment workflows.
• Serve as the team's representative in discussions with stakeholders, elucidating technical concepts and proposing strategic technical directions.
• Architect scalable and streamlined machine learning pipelines, utilizing cloud-based platforms and distributed computing frameworks.

Desired Profile:

• Skilled in programming languages such as Python or java or Pyspark.
• Comprehensive knowledge of DevOps principles and machine learning algorithms.
• Create and implement machine learning models, predictive analytics, and data-driven strategies to enhance user experiences through optimization.
• Expertise in Machine learning frameworks and data processing technologies.
• Practical experience in Data Science and proficiency with databases, particularly in SQL.
• Experience in one of the ML as a service platform, such as Azure ML, Sagemaker, Vertex AI.
• Utilized open-source tools like Mlflow, Kubeflow, evidently.ai, alibi, and sheldon.core or any open-source tools.
• Hands-on expertise in cloud computing, with a preference for AWS.
• Excellent communication.
• Immediate joiner.

Interested candidates share your updated CV with me divya.muraleetharan@antal.com

Place of work